Director, Advanced Analytics- Pricing Data, Merchandise Excellence

Walmart Walmart · Retail · Bentonville, AR

This role is a leadership position focused on defining and executing the long-term vision for pricing data, analytics, and capabilities across all merchandising business units at Walmart. It involves leading teams to develop foundational data ecosystems, architect scalable solutions, and leverage data for competitive differentiation in omni-channel pricing. The role requires enterprise-level thinking, organizational influence, and the ability to connect technical solutions with business value.

What you'd actually do

  1. You anticipate where retail, customer expectations, and pricing intelligence are headed—and translate that into a multi-year roadmap that positions Walmart ahead of the competition.
  2. You’ve led large-scale transformations, aligning multiple business units, product teams, and technology organizations around a unified data and analytics strategy.
  3. You build trust with senior executives and drive alignment across complex stakeholder groups through clear, compelling storytelling and business cases.
  4. Deep expertise in scalable data architecture, cloud platforms (e.g., BigQuery, Snowflake), and data product design that enables high-performance, enterprise-wide analytics.
  5. You simplify highly complex data environments into actionable insights, scalable tools, and business-ready capabilities that drive measurable impact.

Skills

Required

  • Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 5 years' experience in data analytics or related field OR 7 years' experience in data analytics or related field.
  • 4 years' supervisory experience OR experience leading cross-functional teams.

Nice to have

  • retail pricing strategy
  • omni-channel pricing
  • EDLP strategy
  • customer expectations
  • enterprise data strategy
  • business transformation
  • technology innovation
  • data ecosystems
  • competitive differentiation
  • data governance
  • data product design
  • cloud platforms (e.g., BigQuery, Snowflake)

What the JD emphasized

  • multi-year roadmap
  • large-scale transformations
  • unified data and analytics strategy
  • senior executives
  • complex stakeholder groups
  • scalable data architecture
  • data product design
  • high-performance, enterprise-wide analytics
  • highly complex data environments
  • actionable insights
  • scalable tools
  • business-ready capabilities
  • measurable impact